Catch Fraudulent Claims Before They Cost You
AI-powered document verification that cross-checks repair invoices, medical reports, police filings, and loss assessments across every claim. Detect inflated amounts, duplicate submissions, and fabricated documents automatically.
The Challenge
Insurance fraud is one of the most persistent and expensive problems in the financial services industry. Fraudulent claims range from exaggerated repair costs and staged accidents to entirely fabricated incidents supported by forged documentation. Claims adjusters face an overwhelming volume of paperwork and limited time to thoroughly investigate each submission.
Fraudulent claims cost insurers over $80 billion annually
The Coalition Against Insurance Fraud estimates that fraudulent claims add $80 billion in losses to the insurance industry each year across all lines of business. These costs are ultimately passed on to policyholders through higher premiums. From inflated auto repair invoices to fabricated medical treatment records, fraud takes many forms and is becoming increasingly sophisticated as forgers use digital editing tools to create convincing fake documents.
Adjusters cannot manually cross-reference every document
A complex insurance claim can involve a dozen or more supporting documents: police reports, medical bills, repair estimates, photographs, witness statements, and receipts. Adjusters are expected to review each document individually and spot inconsistencies between them — all while managing a caseload of dozens of active claims. It is physically impossible to conduct thorough cross-referencing at scale with manual processes alone.
Duplicate and overlapping claims slip through the cracks
Organized fraud rings submit the same claim to multiple insurers or file overlapping claims for the same incident using slightly different details. Without a centralized system that can compare incoming documents against historical claim data, these duplicates are processed and paid out without anyone realizing the same loss has been claimed multiple times across different policies or carriers.
Inflated invoices are difficult to detect manually
A repair shop that inflates labor hours from three to eight, or a medical provider that bills for treatments that were never performed, creates invoices that look legitimate on the surface. Detecting inflated amounts requires comparing line-item costs against industry benchmarks and historical averages — a time-consuming analysis that adjusters rarely have the bandwidth to perform for every claim.
How Tulip Verify Solves This
Tulip Verify processes every document in an insurance claim as a bundle, extracting data from each file and automatically cross-referencing figures, dates, names, and details across the entire submission. When a repair invoice claims eight hours of labor but the damage assessment suggests a minor dent, the system flags it immediately with a detailed explanation of the discrepancy.
Our AI engine understands the structure of common insurance documents — medical bills, police reports, repair estimates, loss assessor reports, and receipts. It extracts key data points including dates of service, provider names, itemized costs, and diagnostic codes. The system then compares these values against each other and against industry benchmarks to identify anomalies that suggest inflation, fabrication, or duplication.
For claims that involve multiple parties or multiple documents from the same provider, Tulip Verify tracks patterns over time. If a particular repair shop consistently bills at rates that are 40 percent above the regional average, or if a medical provider submits treatment records with identical language across different patients, these patterns are surfaced to your investigations team before payouts are approved.
Every verification result is hashed and recorded on the Polygon blockchain, giving your compliance team an immutable record of what was checked, when it was checked, and what the results were. This audit trail is invaluable during regulatory examinations and litigation, providing court-admissible proof of your fraud detection processes.
Key Features
Bundle Verification
Upload all claim documents as a bundle. The AI cross-references every figure, date, name, and amount across the entire set, flagging inconsistencies that indicate fraud or errors in the submission.
Invoice Inflation Detection
Compare line-item costs on repair invoices and medical bills against regional benchmarks and historical data. Get alerts when amounts exceed expected ranges for the type of damage or treatment claimed.
Duplicate Claim Matching
Automatically compare incoming claims against your historical database to detect duplicate submissions, overlapping incidents, and recycled documents that have been submitted under different policy numbers.
Tamper-Proof Audit Trail
Every verification is anchored to the Polygon blockchain with a timestamp and SHA-256 hash. Generate compliance reports and verification certificates that stand up to regulatory scrutiny and legal challenge.
$2.4M
Average annual fraud savings per carrier
94%
Fraud detection accuracy
< 45s
Per-bundle verification time
6x
More duplicate claims caught
Start Verifying Documents Today
Insurers using Tulip Verify save millions annually by catching fraudulent claims before payout. Start with a free trial to see how bundle verification transforms your claims workflow, or contact our team for a custom enterprise integration.